Literature DB >> 25133355

Exit interviews to reduce turnover amongst healthcare professionals.

Joan Webster1, Anndrea Flint.   

Abstract

BACKGROUND: Exit interviews are widely used in healthcare organisations to identify reasons for staff attrition, yet their usefulness in limiting turnover is unclear.
OBJECTIVES: To determine the effectiveness of various exit interview strategies in decreasing turnover rates amongst healthcare professionals. SEARCH
METHODS: We searched the Cochrane EPOC Group Specialised Register; Cochrane Central Register of Controlled Trials (CENTRAL), Issue 11, 2012; MEDLINE, Ovid (1950- ); EMBASE, Ovid (1947- ); CINAHL, EbscoHost (1980- ), and PsycINFO, OVID (1806-) between October 31 and November 6, 2012. We also screened the reference lists of included studies and relevant reviews; and searched trial registries for planned and on-going studies. We did not restrict searches by language or publication date. SELECTION CRITERIA: Randomised controlled trials, controlled clinical trials, controlled before-after studies and interrupted time series studies comparing turnover rates between healthcare professionals who had undergone one form of exit interview with another form of exit interview or with no interview. DATA COLLECTION AND ANALYSIS: Two review authors independently assessed trial quality and extracted data. MAIN
RESULTS: The original search identified 1560 citations, of which we considered 19 potentially relevant. The two authors independently reviewed the abstracts of these studies and retrieved the full texts of eight studies. We excluded all eight following independent assessment; they were either interviews, commentaries on how to do an exit interview or descriptive studies about reasons for leaving. We found no studies that matched our inclusion criteria. For this first update, we screened 2220 citations and identified no new studies. AUTHORS'
CONCLUSIONS: Evidence about the effectiveness of exit interviews to reduce turnover is currently not available. However, exit interviews may provide useful information about the work environment which, in turn, may be useful in the development of interventions to reduce turnover.

Mesh:

Year:  2014        PMID: 25133355      PMCID: PMC7390136          DOI: 10.1002/14651858.CD006620.pub5

Source DB:  PubMed          Journal:  Cochrane Database Syst Rev        ISSN: 1361-6137


  15 in total

1.  Identifying the causes of staff turnover.

Authors:  J Capko
Journal:  Fam Pract Manag       Date:  2001-04

2.  'The ones that got away': implementing an exit policy for nurses in a public hospital.

Authors:  Cheryl-Ann Hawkins; Louise O'Connor; Sharee Potter
Journal:  Contemp Nurse       Date:  2003-08       Impact factor: 1.787

3.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

4.  Evaluating nurse turnover: comparing attitude surveys and exit interviews.

Authors:  M D Fottler; M A Crawford; J B Quintana; J B White
Journal:  Hosp Health Serv Adm       Date:  1995

5.  Staff nurse turnover costs: Part I, A conceptual model.

Authors:  C B Jones
Journal:  J Nurs Adm       Date:  1990-04       Impact factor: 1.737

6.  When nurses terminate: the exit interview/questionnaire.

Authors:  M Leahey; G Henderson
Journal:  Nurs Econ       Date:  1991 Sep-Oct       Impact factor: 1.085

7.  A new practice environment measure based on the reality and experiences of nurses working lives.

Authors:  Joan Webster; Anndrea Flint; Mary Courtney
Journal:  J Nurs Manag       Date:  2009-01       Impact factor: 3.325

8.  New trends in exit interviews.

Authors:  S Erickson
Journal:  Recruit Retent Restruct Rep       Date:  1996 Sep-Oct

9.  The erosion of nursing resources: employee withdrawal behaviors.

Authors:  L C Wise
Journal:  Res Nurs Health       Date:  1993-02       Impact factor: 2.228

10.  The costs of turnover in nursing homes.

Authors:  Dana B Mukamel; William D Spector; Rhona Limcangco; Ying Wang; Zhanlian Feng; Vincent Mor
Journal:  Med Care       Date:  2009-10       Impact factor: 2.983

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